Fast.ai is a company many of our listeners are quite familiar with due to their popular deep learning course. This episode is being released today in conjunction with the company’s announcement of version 1.0 of their fastai library at the inaugural Pytorch Devcon in San Francisco. Jeremy and I cover a ton of ground in this conversation. Of course, we dive into the new library and explore why it’s important and what’s changed. We also explore the unique way in which it was developed and what it means for the future of the fast.ai courses. Jeremy shares a ton of great insights and lessons learned in this conversation, not to mention mentions a bunch of really interesting-sounding papers.

Don’t forget to join our community of machine learning enthusiasts, including our study groups for the fast.ai courses, at twimlai.com/meetup.

Fantastic interview! Top 10 for sure. One question, I’ve been searching for the notebooks the Jeremey used to build fastai, I think there 14 of them. I can’t seem to find those, can you point me in the right direction?

Jeremy mentioned in the interview opening up the new fastai 1.0 course starting October 22 to everyone online, if they sign up and participate. Have you heard any more about that or did you know the link?